Anastasia Oikonomou

According to our database1, Anastasia Oikonomou authored at least 11 papers between 2015 and 2020.

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Bibliography

2020
COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images.
Pattern Recognit. Lett., 2020

Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications.
CoRR, 2020

CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule Networks.
CoRR, 2020

COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scans.
CoRR, 2020

COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning.
CoRR, 2020

MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction.
CoRR, 2020

MDR-SURV: A Multi-Scale Deep Learning-Based Radiomics for Survival Prediction in Pulmonary Malignancies.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Lung Cancer Radiomics: Highlights from the IEEE Video and Image Processing Cup 2018 Student Competition [SP Competitions].
IEEE Signal Process. Mag., 2019

From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and opportunities.
IEEE Signal Process. Mag., 2019

2018
From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities.
CoRR, 2018

2015
Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015


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